Analysis of scientific production based on trending research topics. An Artificial Intelligence case study

Jesús Bobadilla, Abraham Gutiérrez, Miguel Ángel Patricio, Rodolfo Xavier Bojorque

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Scientific documentation research leads to the computation of large amounts of information from published works of the scientific community. It is necessary to explain these processes and create application frameworks. This paper provides the following: a) An Information System designed to extract scientific information from published papers, b) Accurate explanations of the main processing stages including data mining, natural language processing, and machine learning, and c) Categorized and explained results coming from the Artificial Intelligence case study. The results in this paper include the following: a) Topics and research area rankings and b) Quantity versus quality comparisons of topics and research areas.

Original languageEnglish (US)
Article numbere228
JournalRevista Espanola de Documentacion Cientifica
Volume42
Issue number1
DOIs
StatePublished - 1 Jan 2019

Keywords

  • Artificial intelligence trends
  • Data mining
  • Machine learning
  • Natural language processing
  • Research topics
  • Scientific documentation
  • Scientific production
  • Scopus

Fingerprint

Dive into the research topics of 'Analysis of scientific production based on trending research topics. An Artificial Intelligence case study'. Together they form a unique fingerprint.

Cite this